Digital tools, Automation, & AI for Project Managers

Übersicht

e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Digital tools can either make project work smoother—or multiply chaos.

In this course, you’ll learn how to design clean, async-first workflows that help teams move faster with fewer meetings, clearer ownership, and better visibility. You’ll start by building strong documentation habits:

establishing a single source of truth, using simple templates, and organizing a lightweight knowledge base that stays searchable and up to date.

Next, you’ll design practical “flow in tools” systems:

structured intake and triage, decision logs that prevent rework, and embedded ownership practices (like RACI) inside the tools your team already uses. You’ll then learn how to apply automation safely—using triggers and actions to reduce manual coordination—plus how to build dashboards that support the right decisions for teams, PMs, and stakeholders.

Finally, you’ll apply AI in realistic PM work:

generating first-draft plans and work breakdowns, drafting clearer status updates and stakeholder communication, and scanning project artifacts for risks and improvement opportunities—with guardrails for privacy and human oversight. You’ll leave with reusable templates, prompt patterns, and governance rules you can apply immediately.

Lehrplan

• Async-First Collaboration & Documentation Hygiene
• Flow in Tools: Intake, Triage, Assignment & Decision Tracking
• Automation, Dashboards & Work Visibility
• Practical AI for Project Managers

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Unterrichtet von

Evan Kimbrell

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Fachgebiete

Business